促进风电消纳的供需互动合约机制与多市场购电策略

YAO Gaorui

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促进风电消纳的供需互动合约机制与多市场购电策略

更新时间：2025-08-13

- 促进风电消纳的供需互动合约机制与多市场购电策略
- Automation of Electric Power Systems Vol. 43, Issue 7, Pages: 113-119(2019)
- 作者机构：
  
  西北工业大学管理学院,陕西省,西安市,710072
- 作者简介：
- 基金信息：
- DOI：
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- Published：2019
- 稿件说明：
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YAO Gaorui. [J]. Automation of electric power systems, 2019, 43(7): 113-119.
DOI：

YAO Gaorui. [J]. Automation of electric power systems, 2019, 43(7): 113-119. DOI：

摘要

中国售电侧市场的逐步开放为风电大规模消纳的市场化解决提供了新的可能途径。研究了以促进风电消纳为目标的风电商—售电商供需互动市场机制构建框架。在长期电能市场、现货电能市场、备用市场等市场化交易体系的支撑下，考虑售电公司的需求侧响应能力，建立了以综合购电成本最小为目标的风电—售电多市场购电的随机规划模型。通过对模型结构的分析，给出了在给定价格序列下单时段子问题的解析最优解以及基于情景树的价格序列生成方法，实现了期望意义下购电决策问题的快速求解。最后通过算例分析，讨论了在多市场购电决策层面，供需互动机制促进风电消纳的关键因素。

Abstract

The new round of electricity market reform in China provides a new possible way for the market-oriented solution of large-scale wind power accommodation. A framework of supply-demand interaction contract mechanism across multi-market is presented to improve wind power accommodation. A stochastic programming model is built to minimize the total electricity purchasing cost of wind generators and retailers under the support of marketized trading system including long-term market

spot market

reserve market

and considering demand-side response capability of retailers. By analyzing the model structure

an analytic optimal solution of the single time period subproblem is proposed under the given price sequence generated by scenario tree. The fast solution of the expected electricity purchasing decision-making is achieved. Finally

some key factors of wind power accommodation through supply-demand interaction are discussed at the multi-market decision-making level through a study case.

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